Dr. Nezir Aydin is an Associate Professor at Hamad Bin Khalifa University’s College of Science and Engineering. He has a BSc and MSc in Industrial Engineering from Yildiz Technical University, Istanbul, Turkiye, and a PhD in Industrial and Systems Engineering from Wayne State University, Detroit, USA.

For over twenty years of academic and research activities, he has been conducting research in decision-making under uncertainty, mathematical modeling, and stochastic optimization in logistics, operations, and supply chain management. He has published over 60 papers in international journals.

Dr Mohammad Shaqfeh is a Lecturer in the College of Science and Engineering at Hamad Bin Khalifa University. He completed his Bachelor’s degree in Electrical Engineering from United Arab Emirates University, an MSc degree in Communications Technology from Ulm University, Germany, and a PhD in Digital Communication from The University of Edinburgh, United Kingdom. In addition to a PhD degree in engineering, Dr Shaqfeh also holds a MicroMasters degree in Artificial Intelligence from Columbia University via edX in 2017, and an MA degree in Islamic Studies from Hamad Bin Khalifa University.

He has more than fifteen years of academic (research and teaching) experience at Texas A&M University at Qatar. His teaching experience spans many courses including Computer Programming and Algorithms, Digital Systems Design, Computer Architecture and Design, Embedded Systems, Electronics, Signals and Systems, and Electricity & Magnetism.

Dr Shaqfeh has long research experience in the fields of wireless communication systems and machine learning. He published scholarly papers in high-impact international journals and conferences and has been the Principal Investigator of eight projects funded by Qatar National Research Funds (QNRF).

Dr. Khalid A. Qaraqe is a Professor in the College of Science and Engineering at Hamad Bin Khalifa University. Dr. Qaraqe completed his Bachelors in Electrical Engineering from the University of Technology, Iraq and Masters in Electrical Engineering from the University of Jordan. He earned his PhD in Electrical Engineering from Texas A&M University, College Station, Texas, United States.

From 1989 to 2004, Dr. Qaraqe held various positions in several prominent telecommunication companies and has over 12 years of experience in the telecommunication industry. Dr. Qaraqe has worked on numerous projects and has experience in product development, design, deployments, testing, and integration.

Dr. Qaraqe's research interests include communication theory and its application to wireless communication systems design and performance analysis. His main research interests are mobile networks, broadband wireless access, cooperative networks, cognitive radio, diversity techniques, Index Modulation, Reconfigurable Intelligent Surfaces (RISs), mmWave, THz, Visible Light Communication (VLC), FSO, and telehealth applications.

Dr. Qaraqe has also been awarded over 14 million USD in competitive research grants for his research initiatives. He has published 5 books, 20 book chapters, 5 US patents, and more than 200 journals and 313 conference papers.

Hussein Alnuweiri is a Professor at the College of Science and Engineering at Hamad Bin Khalifa University. He received his PhD in electrical and computer engineering from the University of Southern California, Los Angeles. Before joining HBKU, he was a professor at Texas A&M University at Qatar and the University of British Columbia in Vancouver, BC, Canada.

From 2000 to 2006, he served as a Canadian Delegate to the ISO/IEC JTC1/SC29 Standards Committee (MPEG-4 Multimedia Delivery), where he worked within the MPEG-4 standardization JTC1- SC29WG11 group and contributed one of the first client-server video streaming reference software. He has an established record of industrial collaborations with several major companies worldwide. He is also an inventor and holds four US patents.

Hussein Alnuweiri has authored or co-authored over 250 refereed journal and conference papers in various areas of computing and communications research. His current research interests are in Digital Transformation technologies including intelligent Internet computing, responsive digital twin platforms, applied AI, Internet-of-Things, and mobile and cloud computing.

Dr. Mohammad Azizur Rahman is an Associate Professor in the College of Science and Engineering at Hamad Bin Khalifa University. Before joining HBKU, he held positions as an Associate Professor at Texas A&M University at Qatar and Memorial University of Newfoundland. He also worked as a Lecturer at the University of Alberta, where he earned his PhD in 2010. He is also a Professional Engineer in Alberta and a member of professional organizations including ASME and SPE.

Dr. Rahman has collaborated on various research projects with companies such as TotalEnergies, QatarEnergy LNG, Schlumberger, North Oil Company, Syncrude Canada, GRi Simulations, and others. Throughout his career, he has secured approximately $3.5 million in research funding from organizations like the Qatar Foundation, the Natural Sciences and Engineering Research Council of Canada, and the Newfoundland Research & Development Corporation.

Dr. Nauman Gilal is a Research Associate in the Arabic Language Technologies group at Qatar Computing Research Institute (QCRI) of Hamad Bin Khalifa University. He earned his PhD in Computer Science and Engineering from Hamad Bin Khalifa University, computer vision with a focus on learning from noisy labels and imbalanced data. His doctoral research applied interdisciplinary knowledge to real-world problems across diverse domains, including food computing, and medical imaging (skin cancer and pathology).

At QCRI, he engages in developing AI-powered tools for pathology diagnostics and education, using large multimodal models (MLLMs) to analyze whole slide images (WSIs). His work includes benchmarking and fine-tuning vision language models for healthcare applications and building web-based platforms for real-time image analysis and query capabilities. His research interests focus on multimodal deep learning, medical imaging, and AI-driven tools aimed at advancing healthcare diagnostics and education.

Rama Sulaiman is working as a Research Assistant at the Qatar Computing Research Institute of Hamad Bin Khalifa University.  She is a computer science graduate with a minor in neural computation from Carnegie Mellon University in Qatar (CMUQ). Her journey in education began as a course assistant at CMUQ, where she supported introductory programming courses and later served as a recitation instructor in functional programming. 

As an assistant to the COO of CMUQ, she led a project to digitize campus documents, streamline administrative processes, and promote digital transformation. She coordinated and led the 2022 orientation program, welcoming and guiding 130 first-year students through a well-structured, engaging week of activities.

Currently, Rama creates content and teaches programming courses developed by programs initiated by Dr. Eman, while also serving as the Creative Space Coordinator. In addition, she manages the technical aspects of various initiatives, including Python competitions, summer camps, after-class courses, and Python programming teaching. She is also involved in a Train of Trainers (ToT) study project to test the interactive usage of a programming platform with custom-designed educational content and best teaching practices. The project focuses on high school teachers and their ICT students aiming to redefine how programming is taught and experienced.

Temoor Tanveer is a Research Assistant at Qatar Computing Research Institute of Hamad Bin Khalifa University. He graduated with honors from Carnegie Mellon University in Qatar in 2024, with a concentration in Computer Systems. His research interests center on federated learning, privacy-preserving machine learning, and investigating fundamental AI alignment and safety challenges.

During his undergraduate studies at CMU in Qatar, he co-developed a comprehensive federated learning framework and conducted research resulting in three published papers. His work explored the challenges and opportunities in implementing practical federated learning systems while maintaining data privacy and system efficiency.

At QCRI, Temoor is investigating critical challenges in AI safety and alignment. He looks forward to further exploring foundational challenges in AI safety and federated learning, focusing on advancing practical and theoretical understanding.

Gulnaz Serikbay is a Research Assistant at the Qatar Computing Research Institute of Hamad Bin Khalifa University. She got her bachelor's in Computer Science from Carnegie Mellon University in Qatar. She is working on healthcare analytics projects delivering personalized full-stack applications in the assistive healthcare domain. Gulnaz Serikbay participated in the ICPC 2024 World Finals, representing Carnegie Mellon University in Qatar as a competitive programmer.